Python
Intermediate
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A Data Scientist with a background in Pharmaceutical Technology. My journey into data science started during my NYSC program at the Ekiti State Ministry of Health, where I became fascinated by the flow of data and its potential in decision-making. That experience sparked my curiosity and led me to pursue a career in data analytics.
To build my skills, I have taken courses from Coursera, Udemy, and Alex The Analyst, always looking for new ways to expand my knowledge. I actively participate in hackathons and engage with data science communities, sharpening my ability to uncover trends and make sense of complex data. Predictive analytics and machine learning excite me the most because they allow me to turn raw data into valuable insights.
Balancing my background in Pharmaceutical with my enthusiasm for data science keeps me engaged in both fields, exploring ways to bridge the gap between business, finance, healthcare, and analytics. Outside of work, I have a deep love for history, enjoy movies, and often imagine myself playing the piano.
My goal is to become a highly skilled data scientist, making an impact in business, tech firms, finance, e-commerce, healthcare, and possibly a tech startup by driving data-driven innovation. Feel free to check out my projects below, where I share my experiences and insights.
I have a well-rounded skill set in data analytics, covering programming, databases, BI tools, and spreadsheets. Through hands-on projects and certifications, I have continuously refined my expertise. Below is a glimpse of my capabilities.
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Experienced
Experienced
Intermediate
Browse Through My
Here are some of the projects I've worked on, showcasing my skills in data science, Machine Learning and AI
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This project addresses a real-world business need for personalized movie recommendations by building a Content-Based Recommendation System using genre and plot overview data.
In digital advertising, every dollar spent should move the business closer to a sale. However, ineffective keywords and underperforming ads can quickly eat into profits. This project explores ad campaign performance data, revealing insights on high-ROAS keywords, wasteful spending, and underperforming terms — all aimed at optimizing ad strategy for better results. The primary goal was to evaluate keyword performance based on ROAS (Return on Ad Spend), ACOS (Advertising Cost of Sales), and conversion efficiency, so as to guide smarter keyword investment decisions..
Developed a deep learning model with Python to detect pneumonia in X-ray images.
In the competitive world of e-commerce, product returns can be a major challenge — costing businesses both time and money. This project explores the patterns behind product returns, identifies common reasons, and provides actionable recommendations to help reduce return rates. The analysis was conducted using a structured dataset of fashion product returns. The main goal was to identify which products are most often returned and understand why, so that smarter business decisions can be made to improve customer satisfaction and profitability..
Used clustering techniques to identify patterns in breast cancer data for early detection.
In this project, i addressed the pressing issue of **credit card fraud** by building a machine learning model using the **Random Forest Classifier**. The model is trained to distinguish between legitimate and fraudulent transactions based on various features such as transaction amount, location data, and population of the user's city.
The objective of this project was to determine which products were worth continuing in production and which could be phased out based on performance, Reduce production costs by identifying products that met specific revenue or sales targets within the first three quarters (Q1–Q3) of 2024.
In this project, I analyzed customer retention and attrition trends to understand the factors leading to customer loyalty and what contributes to their departure. The goal was to identify **demographic patterns** and **behavioral traits** of retained and lost customers in order to improve retention strategies and reduce churn.
View My Latest
Below are some of my most recent dashboard projects created with BI Tools. These dashboards provide comprehensive insights and visualizations for various datasets and scenarios.
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Here are some of my most significant certifications that demonstrate my skills and expertise in various domains.
Explore My
These are the individual courses I have completed to enhance my skills and knowledge in various areas.
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